Instructions to use whitefoxredhell/language_identification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use whitefoxredhell/language_identification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="whitefoxredhell/language_identification")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("whitefoxredhell/language_identification") model = AutoModelForSeq2SeqLM.from_pretrained("whitefoxredhell/language_identification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "0": "fr", | |
| "1": "zh", | |
| "2": "fa", | |
| "3": "ky", | |
| "4": "ru", | |
| "5": "lt", | |
| "6": "uz", | |
| "7": "en", | |
| "8": "pt", | |
| "9": "bg", | |
| "10": "th", | |
| "11": "pl", | |
| "12": "ur", | |
| "13": "sw", | |
| "14": "tr", | |
| "15": "es", | |
| "16": "ar", | |
| "17": "it", | |
| "18": "hi", | |
| "19": "de", | |
| "20": "el", | |
| "21": "nl", | |
| "22": "vi", | |
| "23": "ja" | |
| } |